State-Space Models with Regime Switching (Classical and Gibbs-Sampling Approaches with Applications)

Both state-space models and Markov switching models have been highly productive paths for empirical research in macroeconomics and finance. This book presents recent advances in econometric methods that make feasible the estimation of models that have both features. One approach, in the classical framework, approximates the likelihood function; the other, in the Bayesian framework, uses Gibbs-sampling to simulate posterior distributions from data.

The authors present numerous applications of these approaches in detail: decomposition of time series into trend and cycle, a new index of coincident economic indicators, approaches to modeling monetary policy uncertainty, Friedman's "plucking" model of recessions, the detection of turning points in the business cycle and the question of whether booms and recessions are duration-dependent, state-space models with heteroskedastic disturbances, fads and crashes in financial markets, long-run real exchange rates, and mean reversion in asset returns.

While major retailers like Amazon may carry State-Space Models with Regime Switching (Classical and Gibbs-Sampling Approaches with Applications), we specialize in bulk book sales and offer personalized service from our friendly, book-smart team based in Portland, Oregon. We’re proud to offer a Price Match Guarantee and a streamlined ordering experience from people who truly care.

We’re trusted by over 75,000 customers, many of whom return time and again. Want proof? Just check out our 25,000+ customer reviews—real feedback from people who love how we do business.

Prefer to talk to a real person? Our Book Specialists are here Monday–Friday, 8 a.m. to 5 p.m. PST and ready to help with your bulk order of State-Space Models with Regime Switching (Classical and Gibbs-Sampling Approaches with Applications).